RStudio Connect

Today we are excited to announce the availability of RStudio Professional Drivers. There are, of course, many ways to connect to Databases using R. RStudio Professional Drivers are specifically intended for use with our professional products, including RStudio Server Pro, Shiny Server Pro, and RStudio Connect. These data connectors combined with enhancements to dplyr, the odbc package, and the RStudio IDE provide a comprehensive suite of tools for accessing and analyzing data with your enterprise systems.
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We’re pleased to announce support for Kerberos in RStudio Connect: version 1.5.6. Organizations that use Kerberos can now run Shiny applications and Shiny R Markdown documents in tailored processes that have access only to the appropriate resources inside the organization.
The notable changes this release include:
Full support for Kerberos across Shiny applications and Shiny R Markdown documents by running R in an authenticated PAM session that uses the cached credentials of the current user.
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We’re thrilled to announce support for hosting Plumber APIs in RStudio Connect: version 1.5.4. Plumber is an R package that allows you to define web APIs by adding special annotations to your existing R code – allowing you to make your R functions accessible to other systems.
Below you can see the auto-generated “swagger” interface for a web API written using Plumber.
Develop Web APIs using Plumber The open-source Plumber R package enables you to create web APIs by merely adding special comments to your existing functions.
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We’re excited to announce a powerful new ability to organize content in RStudio Connect: version 1.5.0. Tags allow publishers to arrange what they’ve published and enable users to find and discover the content most relevant to them. The release also includes a newly designed (and customizable!) landing page and multiple important security enhancements.
Tagging Content with a Custom Tag Schema Tags can be used to manage and organize servers that have hundreds or even thousands of pieces of content published to them.
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We’re excited to announce the release of RStudio Connect: version 1.4.6. This is an incremental release which features significantly improved startup time and support for server-side Shiny bookmarks.
Improved Startup & Job Listing Time
We now track R process jobs in the database which allows us to list and query jobs much more quickly. This decreases the startup time of the RStudio Connect service – allowing even the busiest of servers to spin up in a matter of seconds.
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We’re excited to announce the release of RStudio Connect: version 1.4.4.1. This release includes the ability to manage different versions of your work on RStudio Connect.
Rollback / Roll Forward The most notable feature of this release is the ability to “rollback” to a previously deployed version of your work or “roll forward” to a more recent version of your work.
You can also download a particular version, perhaps as a starting place for a new report or application, and delete old versions that you want to remove from the server.
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We’re excited to announce the latest release of RStudio Connect: version 1.4.2. This release includes a number of notable features including an overhauled interface for parameterized R Markdown reports.
Enhanced Parameterized R Markdown Reports
The most notable feature in this release is the ability to publish parameterized R Markdown reports that are easier for anyone to customize. If you’re unfamiliar, parameterized R Markdown reports allow you to inject input parameters into your R Markdown document to alter what analysis the report performs.
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We’re thrilled to officially introduce the newest product in RStudio’s product lineup: RStudio Connect.
You can download a free 45-day trial of it here.
RStudio Connect is a new publishing platform for all the work your teams do in R. It provides a single destination for your Shiny applications, R Markdown documents, interactive HTML widgets, static plots, and more.
RStudio Connect isn’t just for R users. Now anyone can interact with custom built analytical data products developed by R users without having to program in R themselves.
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